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In a survey we published in September, 80% of statisticians agreed that there should be an ethical framework in place for collecting and using data. In today's guest post, Dr. Ann Cavoukian, the Information and Privacy Commissioner of Ontario, Canada, describes Privacy by Design: an international standard for privacy protection.

by Dr. Ann Cavoukian

I'm heading out on vacation shortly but don't worry: we have a fantastic series of guest bloggers contributing to the Revolution blog for the next 3 weeks. We'll have posts from the Revolution Analytics development team, contributions from prominent R community members, and industry experts. And I'll still pop in from time to time with a few pre-scheduled surprises. 

My Twitter account @revodavid has, of this writing, 8828 followers. But is that below or above average amongst active Twitter accounts? Since Twitter doesn't publish statistics of follower counts, I've really had little idea. Until now, that is, because Jon Bruner has done some independent research to estimate the distribution of number of followers amongst active Twitter users

In an ZDNet article published this morning, Revolution Analytics CTO Greg Todd surveys the landscape for IT archietcture and tools to bring the insights of data scientists to business decision makers:

Now that the limited availability period is complete, we're pleased to announce that Revolution R Enterprise 7 is now generally available for all customers on the following platforms (see the detailed list of supported platforms):

This water is so smart, it can solve a maze. (Skip ahead to 1:19 if you want to avoid spoilers and just be amazed.)

 

The program for next year's useR! conference in Los Angeles is shaping up nicely, with confirmed speakers including John Chambers (from the R Core Group), David Diez (OpenIntro), Dirk Eddelbuettel (Rcpp, Debian), Jan de Leeuw (Journal of Statistical Software), Martin Mächler (R Core, R Foundation) and Karline Soetaert (author of Solving Differential Equations in R).

Tomorrow at 11AM Pacific Time, Revolution Analytics' Chief Scientist Mario Inchiosa will present a live webinar on Scalable Cross-Platform R-Based Predictive Analytics. Here's the abstract:

In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and histograms.